Abstract
AbstractIn this paper, we propose a mathematical model to predict the novel coronavirus. Due to the rapid spread of the novel coronavirus disease in the world, we add to the deterministic model of the coronavirus the terms of the stochastic perturbations. In other words, we consider in this paper a stochastic model to predict the novel coronavirus. The equilibrium points of the deterministic model have been determined, and the reproduction number of our deterministic model has been implemented. The asymptotic behaviors of the solutions of the stochastic model around the equilibrium points have been studied. The numerical investigations and the graphical representations obtained with the novel stochastic model are made using the classical stochastic numerical scheme.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Reference22 articles.
1. Coronavirus disease (COVID-19), World Health organization, 20 June 2020, Report 152. https://www.who.int/emergencies/diseases/novel-coronavirus-2019
2. Khan, M.A., Atangana, A.: Modeling the dynamics of novel coronavirus (2019-nCov) with fractional derivative. Alex. Eng. J. (2020). https://doi.org/10.1016/j.aej.2020.02.033
3. Bozkurt, F., Yousef, A., Baleanu, D., Alzabut, J.: A mathematical model of the evolution and spread of pathogenic coronaviruses from natural host to human host. Chaos Solitons Fractals 138, 109931 (2020)
4. Mandal, M., et al.: A model based study on the dynamics of Covid-19: prediction and control. Chaos Solitons Fractals 136, 109889 (2020)
5. Atangana, A.: Modelling the spread of Covid-19 with new fractal-fractional operators: can the lockdown save mankind before vaccination? Chaos Solitons Fractals 136, 109860 (2020)
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